config.py

data_dir   = # TODO
output_dir = # TODO

best_model_without_random_effects = '' # Put name (starting with glm) of model without random effects that has highest log likelihood in step 5 of fitting regression models
best_model_with_random_effects    = '' # Put name (starting with glm) of model with random effects that has highest log likelihood in step 5 of fitting regression models

outlying_npis = [] # Put NPIs with small p-values here in step 2 under testing for provider variation